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Passive kHz lidar for the quantification of insect activity and dispersal

Jansson, Samuel LU and Brydegaard, Mikkel LU (2018) In Animal Biotelemetry 6(1).
Abstract

Background: In recent years, our group has developed electro-optical remote sensing methods for the monitoring and classification of aerofauna. These methods include active lidar methods and passive, so-called dark-field methods that measure scattered sunlight. In comparison with satellite- and airborne remote sensing, our methods offer a spatiotemporal resolution several orders of magnitude higher, and unlike radar, they can be employed close to ground. Whereas passive methods are desirable due to lower power consumption and ease of use, they have until now lacked ranging capabilities. Results: In this work, we demonstrate how passive ranging of sparse insects transiting the probe volume can be achieved with quadrant sensors. Insects... (More)

Background: In recent years, our group has developed electro-optical remote sensing methods for the monitoring and classification of aerofauna. These methods include active lidar methods and passive, so-called dark-field methods that measure scattered sunlight. In comparison with satellite- and airborne remote sensing, our methods offer a spatiotemporal resolution several orders of magnitude higher, and unlike radar, they can be employed close to ground. Whereas passive methods are desirable due to lower power consumption and ease of use, they have until now lacked ranging capabilities. Results: In this work, we demonstrate how passive ranging of sparse insects transiting the probe volume can be achieved with quadrant sensors. Insects are simulated in a raytracing model of the probe volume, and a ranging equation is devised based on the simulations. The ranging equation is implemented and validated with field data, and system parameters that vary with range are investigated. A model for estimating insect flight headings with modulation spectroscopy is implemented and tested with inconclusive results. Insect fluxes are retrieved through time-lag correlation of quadrant detector segments, showing that insects flew more with than against the wind during the study period. Conclusions: The presented method demonstrates how ranging can be achieved with quadrant sensors, and how it can be implemented with or without active illumination. A number of insect flight parameters can be extracted from the data produced by the sensor and correlated with complementary information about weather and topography. The approach has the potential to become a widespread and simple tool for monitoring abundances and fluxes of pests and disease vectors in the atmosphere.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Aerofauna, Dark field, Lidar, Modulation spectroscopy, Near-field optics, Remote sensing
in
Animal Biotelemetry
volume
6
issue
1
publisher
BioMed Central
external identifiers
  • scopus:85047913217
ISSN
2050-3385
DOI
10.1186/s40317-018-0151-5
language
English
LU publication?
yes
id
711a6ac8-6176-458d-b62d-33851ee6c56a
date added to LUP
2018-06-12 15:28:38
date last changed
2018-09-09 05:00:24
@article{711a6ac8-6176-458d-b62d-33851ee6c56a,
  abstract     = {<p>Background: In recent years, our group has developed electro-optical remote sensing methods for the monitoring and classification of aerofauna. These methods include active lidar methods and passive, so-called dark-field methods that measure scattered sunlight. In comparison with satellite- and airborne remote sensing, our methods offer a spatiotemporal resolution several orders of magnitude higher, and unlike radar, they can be employed close to ground. Whereas passive methods are desirable due to lower power consumption and ease of use, they have until now lacked ranging capabilities. Results: In this work, we demonstrate how passive ranging of sparse insects transiting the probe volume can be achieved with quadrant sensors. Insects are simulated in a raytracing model of the probe volume, and a ranging equation is devised based on the simulations. The ranging equation is implemented and validated with field data, and system parameters that vary with range are investigated. A model for estimating insect flight headings with modulation spectroscopy is implemented and tested with inconclusive results. Insect fluxes are retrieved through time-lag correlation of quadrant detector segments, showing that insects flew more with than against the wind during the study period. Conclusions: The presented method demonstrates how ranging can be achieved with quadrant sensors, and how it can be implemented with or without active illumination. A number of insect flight parameters can be extracted from the data produced by the sensor and correlated with complementary information about weather and topography. The approach has the potential to become a widespread and simple tool for monitoring abundances and fluxes of pests and disease vectors in the atmosphere.</p>},
  articleno    = {6},
  author       = {Jansson, Samuel and Brydegaard, Mikkel},
  issn         = {2050-3385},
  keyword      = {Aerofauna,Dark field,Lidar,Modulation spectroscopy,Near-field optics,Remote sensing},
  language     = {eng},
  month        = {05},
  number       = {1},
  publisher    = {BioMed Central},
  series       = {Animal Biotelemetry},
  title        = {Passive kHz lidar for the quantification of insect activity and dispersal},
  url          = {http://dx.doi.org/10.1186/s40317-018-0151-5},
  volume       = {6},
  year         = {2018},
}